Notice bibliographique
Résumé
Introduction: The objectives of this article are to (1) evaluate the popular fillers as practice builders and (2) outline a typical practice builder program for the surgeon. Methods: Information was gained from a search of the literature, 25 years of clinical experience, and interviews as well as a survey of 35 physicians to determine present surgeon techniques. Fillers were graded 1–5 to qualify as an income generator (with 5 being the highest). Results: Autologous fat scores were higher than that of the other fillers, although any filler could be in a practice-builder program. All bioresorbable fillers will need additional fill to obtain the desired results, but fat has an added benefit of some eventual permanence. When more than 5 mL of filler is needed, fat has also has the most reasonable cost. The commercial fillers will cost $93 to $200 per milliliter. Autologous fat, even with the added cost of anesthesia, disposables, and a minor operating room setup, will be more economical for the patient in amounts greater than 5 mL. When the surgeon can charge less for the filler itself, there is more room for a fair professional fee. There are 3 instrument systems available for fat transfer on the market. These systems accomplish different goals; thus, all have their position in the marketplace. These systems include the TissuTrans, the LipiVage, and the Coleman type modified liposuction instruments. The latter includes all micro-cannula-type instruments. Since it has been established that fat trauma during transfer should be minimized, the system and technique that will give the least amount of trauma to the fat cell should be the first choice. Conclusions: There is now a resurgence of interest in autologous fat because of the very high costs of commercial substances. Because of public acceptance and the availability and cost of economical raw goods, autologous fat can be a key filler in a practice-builder program. To have a successful goal-oriented program, one must use lipocyte-friendly instruments and put a great deal of effort into training the staff. The program must be organized, advertised, marketed, and reviewed at specific intervals for improvement. NOTE: When speaking of the best practice-builder filler, it is assumed that the surgeon will follow ethical guidelines in choosing the best filler for the patient, not just the filler that fits his or her program.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».